Alexander Zahid
Senior Engineer, Machine Learning at Somnoscient
Copenhagen, Capital Region of Denmark
Summary
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Senior🎓
Top SchoolAlexander Zahid is a senior machine learning engineer and research scientist with 11 years of experience building algorithms and data pipelines for electrophysiological signal analysis, focused on computational sleep science. He holds a PhD in Biomedical Engineering from DTU, completed extended research at Stanford Medicine, and transitioned academic advances into industry roles at WS Audiology and Somnoscient. His work spans deep learning for clinical sleep analysis, signal processing, and visualization—aimed at uncovering sleep pathologies and their impact on health. Comfortable moving models from research to production, he blends rigorous experimental design with practical engineering to deliver reproducible pipelines. An underappreciated strength is his long record of teaching and mentoring, which sharpens his ability to communicate complex methods to clinicians and engineers alike.
11 years of coding experience
15 years of employment as a software developer
Visiting Student Researcher, Visiting Student Researcher at Stanford University School of MedicineTechnical University of Denmark
Danish, English, French, German
Stackoverflow
454reputation
17kreached
5answers
9questions
Github Skills (115)
python10
deep-learning10
neural-network10
artificial-intelligence10
data-science10
tensorflow10
pytorch10
machine-learning10
driver10
ml9
convex-optimization9
ai9
meter9
numerical-optimization9
optimization9
Programming languages (8)
Github contributions (5)
neergaard/forward
Jul 2018 - May 2022
Sherlock Port Forwarding Utility
Contributions:10 pushes, 1 branch in 3 years 10 months
forwardingsherlockport-forwarding
Stanford-STAGES/narcolepsy-detector
Jul 2021 - Oct 2024
Contributions:1 release, 20 pushes, 2 branches in 3 years 3 months
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